Applied Scientist - ML for Data Center Power Optimization

Amazon Web Services (AWS); Arlington (VA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSU stock options

Job summary

Amazon Web Services, Inc. is seeking an Applied Scientist for the AISS team to research and deploy machine learning models that optimize power and thermal infrastructure in our data centers.

You will collaborate with scientists, data engineers, and software teams to model complex systems and drive cost savings while ensuring high availability. You should have a strong track record in ML, publications, and the ability to communicate complex technical ideas to senior leaders.

Qualifications

• Master's degree in a relevant field.
• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
• Experience building machine learning models or developing algorithms for business application.
• Experience implementing algorithms using toolkits and self-developed code.
• Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS.

Responsibilities

• Leverage deep expertise in scientific disciplines to invent solutions to ambiguous ads measurement problems.
• Disambiguate problems to propose clear evaluation frameworks and success criteria.
• Work autonomously and write high quality technical documents.
• Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production.
• Work closely with other scientists to deliver impactful customer solutions.
• Share and publish works with the broader scientific community through meetings and conferences.
• Communicate clearly to scientific audiences.

Skills

Java

C++

Python

ML/Algorithms

Publications

Education

Master's degree

PhD in CS/Math/ML

Tools

Oracle

SQL / Data Warehouse

Data Warehouse

Job description

Amazon Web Services, Inc. is seeking an Applied Scientist for the AISS team to research and deploy machine learning models that optimize power and thermal infrastructure in our data centers.

You will collaborate with scientists, data engineers, and software teams to model complex systems and drive cost savings while ensuring high availability. You should have a strong track record in ML, publications, and the ability to communicate complex technical ideas to senior leaders.